FICO Xpress Optimization

FICO^® Xpress Optimization

Xpress Kalis application examples

Project scheduling problem with disjunctive resource constraints: Scheduling objects, branching strategy


Type:	Project scheduling
Rating:	3 (intermediate)
Description:	Project scheduling problem with disjunctive resource constraints and minimum and maximum delays between tasks, formulated with 'disjunctive' constraints (bridgescheduling.mos), or using task and resources objects (bridgescheduling_alt.mos)
File(s):	bridgescheduling.mos, bridgesched_graph.mos, bridgescheduling_alt.mos
Data file(s):	bridgescheduling.dat, bridgescheduling_alt.dat

Solving the job-shop scheduling problem: Scheduling objects, solution callback


Type:	Job-shop scheduling
Rating:	2 (easy-medium)
Description:	Solving the classical job-shop scheduling problem, formulated with 'disjunctive' constraints (jobshop.mos), or using task and resources objects (jobshop_alt.mos)
File(s):	jobshop.mos, jobshop_alt.mos
Data file(s):	mt06.dat, mt10.dat, mt20.dat, la105.dat

Frequency assignment with polarity: Submodel execution, solution heuristic


Type:	Frequency Assignment Problem
Rating:	5 (difficult)
Description:	Frequency Assignment Problem with polarization constraints taken from the ROADEF'2001 challenge. The implemented algorithm is a two phase algorithm, the master model runfapp.mos repeatedly runs the submodel fappmod.mos, using different onfigurations.
File(s):	runfapp.mos, fappmod.mos
Data file(s):	fapp_instance_01.in, fapp_instance_02.in, fapp_instance_03.in, fapp_instance_04.in

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